Nous Hermes 2 Mixtral 8x7B SFT AWQ by TheBloke

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  4-bit   Autotrain compatible   Awq Base model:nousresearch/nous-h...   Chatml   Conversational   Distillation   Dpo   En   Finetuned   Gpt4   Instruct   License:apache-2.0   Mixtral   Moe   Quantized   Region:us   Rlhf   Safetensors   Sharded   Synthetic data   Tensorflow

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Instruction Following and Task Automation  
Factuality and Completeness of Knowledge  
Censorship and Alignment  
Data Analysis and Insight Generation  
Text Generation  
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Multi-Language Support and Translation  
Nous Hermes 2 Mixtral 8x7B SFT AWQ (TheBloke/Nous-Hermes-2-Mixtral-8x7B-SFT-AWQ)

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Note: green Score (e.g. "73.2") means that the model is better than TheBloke/Nous-Hermes-2-Mixtral-8x7B-SFT-AWQ.

Nous Hermes 2 Mixtral 8x7B SFT AWQ Parameters and Internals

LLM NameNous Hermes 2 Mixtral 8x7B SFT AWQ
RepositoryOpen on ๐Ÿค— 
Model NameNous Hermes 2 Mixtral 8X7B SFT
Model CreatorNousResearch
Base Model(s)  Nous Hermes 2 Mixtral 8x7B SFT   NousResearch/Nous-Hermes-2-Mixtral-8x7B-SFT
Model Size6.5b
Required VRAM24.7 GB
Updated2024-07-04
MaintainerTheBloke
Model Typemixtral
Model Files  10.0 GB: 1-of-3   10.0 GB: 2-of-3   4.7 GB: 3-of-3
Supported Languagesen
AWQ QuantizationYes
Quantization Typeawq
Model ArchitectureMixtralForCausalLM
Licenseapache-2.0
Context Length32768
Model Max Length32768
Transformers Version4.37.0.dev0
Tokenizer ClassLlamaTokenizer
Padding Token</s>
Vocabulary Size32002
Initializer Range0.02
Torch Data Typefloat16

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Original data from HuggingFace, OpenCompass and various public git repos.
Release v2024042801